Multi-resolution reconstruction of spectral images from compressed measurements by single pixel optical sensing architecture

Garcia Arenas, Hans Yecid

Publicación:
Multi-resolution reconstruction of spectral images from compressed measurements by single pixel optical sensing architecture

dc.contributor.advisor	Arguello Fuentes, Henry
dc.contributor.advisor	Correa Pugliese, Claudia Victoria
dc.contributor.author	Garcia Arenas, Hans Yecid
dc.date.accessioned	2024-03-04T00:05:40Z
dc.date.available	2018
dc.date.available	2024-03-04T00:05:40Z
dc.date.created	2018
dc.date.issued	2018
dc.description.abstractenglish	Spectral imaging is used in a wide range of applications for non-invasive detection and classification. However, the massive amount of involved data increases its processing and storing costs. In contrast, compressive spectral imaging (CSI) establishes that the threedimensional spectral data cube can be recovered from a small set of projections that are generally captured in 2-dimensional detectors. Furthermore, the single-pixel camera (SPC) has been also employed for spectral imaging. Specifically, SPC captures the spatial and spectral information in a single measurement. CSI reconstructions are traditionally obtained by solving a minimization problem using iterative algorithms. However, the computational load of these algorithms is high due to the dimensionality of the involved sensing matrices. In this work, a Multi-resolution (MR) reconstruction model is proposed such that the complexity of the inverse problem can be reduced by grouping pixels with spectral similarities from an initial fast-low-resolution reconstruction of the scene.
dc.description.degreelevel	Maestría
dc.description.degreename	Magíster en Ingeniería Electrónica
dc.format.mimetype	application/pdf
dc.identifier.instname	Universidad Industrial de Santander
dc.identifier.reponame	Universidad Industrial de Santander
dc.identifier.repourl	https://noesis.uis.edu.co
dc.identifier.uri	https://noesis.uis.edu.co/handle/20.500.14071/38696
dc.language.iso	spa
dc.publisher	Universidad Industrial de Santander
dc.publisher.faculty	Facultad de Ingenierías Fisicomecánicas
dc.publisher.program	Maestría en Ingeniería Electrónica
dc.publisher.school	Escuela de Ingenierías Eléctrica, Electrónica y Telecomunicaciones
dc.rights	http://creativecommons.org/licenses/by/4.0/
dc.rights.accessrights	info:eu-repo/semantics/openAccess
dc.rights.creativecommons	Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.license	Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.rights.uri	http://creativecommons.org/licenses/by-nc/4.0
dc.subject.keyword	Multi-Resolution
dc.subject.keyword	Super-Pixel
dc.subject.keyword	Single Pixel Camera
dc.subject.keyword	Compressive Spectral Imaging.
dc.title	Multi-resolution reconstruction of spectral images from compressed measurements by single pixel optical sensing architecture
dc.title.english	Multi-resolution reconstruction of spectral images from compressed measurements by single pixel optical sensing architecture
dc.type.coar	http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.hasversion	http://purl.org/coar/resource_type/c_bdcc
dc.type.local	Tesis/Trabajo de grado - Monografía - Maestria
dspace.entity.type	Publication